Tomasz Jeliński

most citedApplication of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES String

19 citations · 19 across the 1 of their papers we have counts for

collaborators

2 papers

hep-ph2019

Standard Model radiative corrections in the pion form factor measurements do not explain the $a_{μ}$ anomaly

Francisco Campanario, Henryk Czyż, Janusz Gluza +4

In this letter, we address the question of whether the almost four standard deviations difference between theory and experiment for the muon anomalous magnetic moment $a_{μ}$ can be…

physics.chem-ph2019★ 19 cited

Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES String

Maciej Przybyłek, Tomasz Jeliński, Piotr Cysewski

A new method of Hansen solubility parameters (HSPs) prediction was developed by combining the multivariate adaptive regression splines (MARSplines) methodology with a simple multiv…

Standard Model radiative corrections in the pion form factor measurements do not explain the aμ​ anomaly

Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES String

Standard Model radiative corrections in the pion form factor measurements do not explain the $a_{μ}$ anomaly